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This paper considers binomial approximation of continuous time stochastic processes. It is shown that, under some mild integrability conditions, a process can be approximated in mean square sense and in other strong metrics by binomial…

Computational Finance · Quantitative Finance 2015-02-09 Nikolai Dokuchaev

We consider shock measures in a class of conserving stochastic particle systems on Z. These shock measures have a product structure with a step-like density profile and include a second class particle at the shock position. We show for the…

Probability · Mathematics 2010-03-26 Marton Balazs , Gyorgy Farkas , Peter Kovacs , Attila Rakos

Binomial distributions capture the probabilities of `heads' outcomes when a (biased) coin is tossed multiple times. The coin may be identified with a distribution on the two-element set {0,1}, where the 1 outcome corresponds to `head'. One…

Probability · Mathematics 2026-03-03 Bart Jacobs

This paper develops asymptotics and approximations for ruin probabilities in a multivariate risk setting. We consider a model in which the individual reserve processes are driven by a common Markovian environmental process. We subsequently…

Probability · Mathematics 2018-12-24 G. A. Delsing , M. R. H. Mandjes , P. J. C. Spreij , E. M. M. Winands

We propose a class of strongly efficient rare event simulation estimators for random walks and compound Poisson processes with a regularly varying increment/jump-size distribution in a general large deviations regime. Our estimator is based…

Probability · Mathematics 2017-06-14 Bohan Chen , Jose Blanchet , Chang-Han Rhee , Bert Zwart

In this paper we consider a multivariate risk model with common renewal process, while the logarithmic returns of the insurers investment portfolio, are described by a Levy process. In the two main results are established an asymptotic…

Probability · Mathematics 2025-10-21 Dimitrios G. Konstantinides , Charalampos D. Passalidis

We study a new technique for the asymptotic analysis of heavy-tailed systems conditioned on large deviations events. We illustrate our approach in the context of ruin events of multidimensional regularly varying random walks. Our approach…

Statistics Theory · Mathematics 2014-03-10 Jose Blanchet , Jingchen Liu

Generalizing earlier works of Delbaen & Haezendonck [5] as well as of [18] and [16] for given compound mixed renewal process S under a probability measure P, we characterize all those probability measures Q on the domain of P such that Q…

Probability · Mathematics 2020-07-16 Spyridon M. Tzaninis , Nikolaos D. Macheras

In this paper we determine bounds and exact asymptotics of the ruin probability for risk process with arrivals given by a linear marked Hawkes process. We consider the light-tailed and heavy-tailed case of the claim sizes. Main technique is…

Probability · Mathematics 2023-04-07 Zbigniew Palmowski , Simon Pojer , Stefan Thonhauser

Random shifting typically appears in credibility models whereas random scaling is often encountered in stochastic models for claim sizes reflecting the time-value property of money. In this article we discuss some aspects of random shifting…

Methodology · Statistics 2014-10-08 Enkelejd Hashorva , Lanpeng Ji

In this paper we consider the Parisian ruin probabilities for the dual risk model in a discrete-time setting. By exploiting the strong Markov property of the risk process we derive a recursive expression for the fnite-time Parisian ruin…

Probability · Mathematics 2017-08-24 Zbigniew Palmowski , Lewis Ramsden , Apostolos D. Papaioannou

Random population dynamics with catastrophes (events pertaining to possible elimination of a large portion of the population) has a long history in the mathematical literature. In this paper we study an ergodic model for random population…

Probability · Mathematics 2019-03-13 Iddo Ben-Ari , Alexander Roitershtein , Rinaldo B. Schinazi

In a Markov chain population model subject to catastrophes, random immigration events (birth), promoting growth, are in balance with the effect of binomial catastrophes that cause recurrent mass removal (death). Using a generating function…

Statistical Mechanics · Physics 2021-01-12 Branda Goncalves , Thierry Huillet

The big jump principle explains the emergence of extreme events for physical quantities modelled by a sum of independent and identically distributed random variables which are heavy-tailed. Extreme events are large values of the sum and…

Statistical Mechanics · Physics 2021-11-10 Marc Höll , Eli Barkai

Universal dimensionless quantities, such as Binder ratios and wrapping probabilities, play an important role in the study of critical phenomena. We study the finite-size scaling behavior of the wrapping probability for the Potts model in…

Statistical Mechanics · Physics 2015-07-14 Hao Hu , Youjin Deng

This paper investigates asymptotic estimates for the entrance probability of the discounted aggregate claim vector from a multivariate renewal risk model into some rare set. We provide asymptotic results for the entrance probability on both…

Probability · Mathematics 2026-04-14 Zhangting Chen , Dimitrios G. Konstantinides , Charalampos D. Passalidis

In this paper we introduce a bivariate distribution on $\mathbb{R}_{+} \times \mathbb{N}$ arising from a single underlying Markov jump process. The marginal distributions are phase-type and discrete phase-type distributed, respectively,…

Methodology · Statistics 2022-07-05 Martin Bladt , Clara Brimnes Gardner

We study the closure properties of the class of Bivariate Regular Variation, symbolically BRV , in standard and nonstandard cases, with respect to the randomly weighted sums. However, we take into consideration a weak dependence structure…

Probability · Mathematics 2025-06-24 Dimitrios G. Konstantinides , Charalampos D. Passalidis

In this paper, we study the merging and splitting of generalized counting processes (GCPs). First, we study the merging of a finite number of independent GCPs and then extend it to the case of countably infinite. The merged process is…

Probability · Mathematics 2025-01-16 M. Dhillon , K. K. Kataria

There is a lot of research on probabilistic transition systems. There are not many studies in probabilistic process models. The lack of investigation into the interactive aspect of probabilistic processes is mainly due to the difficulty…

Logic in Computer Science · Computer Science 2019-06-25 Yuxi Fu
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